Automatic boundary extraction and rectification of bony tissue in CT images using artificial intelligence techniques

Matthew F.Y. Kwan*, K. C. Cheung, Ian Gibson

*Corresponding author for this work

Research output: Contribution to journalConference articleAcademicpeer-review

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A novel approach is presented for fully automated boundary extraction and rectification of bony tissue from planar CT data. The approach extracts and rectifies feature boundary in a hierarchical fashion. It consists of a fuzzy multilevel thresholding operation, followed by a small void cleanup procedure. Then a binary morphological boundary detector is applied to extract the boundary. However, defective boundaries and undesirable artifacts may still be present. Thus two innovative anatomical knowledge based algorithms are used to remove the undesired structures and refine the erroneous boundary. Results of applying the approach on lumbar CT images are presented, with a discussion of the potential for clinical application of the approach.

Original languageEnglish
Pages (from-to)I/-
JournalProceedings of SPIE - the international society for optical engineering
Publication statusPublished - 2000
Externally publishedYes
EventMedical Imaging 2000: Image Processing - San Diego, United States
Duration: 14 Feb 200017 Feb 2000

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